MatheusMRFM / A3C-LSTM-with-TensorflowLinks
An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.
☆29Updated 8 years ago
Alternatives and similar repositories for A3C-LSTM-with-Tensorflow
Users that are interested in A3C-LSTM-with-Tensorflow are comparing it to the libraries listed below
Sorting:
- Implementation for ACER in tensorflow and sonnet by deepmind☆11Updated 8 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 7 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆185Updated 7 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 7 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆118Updated 2 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆123Updated 10 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆152Updated 2 years ago
- C51-DDQN in Keras☆126Updated 8 years ago
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆31Updated 7 years ago
- ☆69Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆260Updated last year
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- Implementation of Meta-RL A3C algorithm☆405Updated 8 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago